After Facebook 360, FB Reveals its AI Code to Everyone

 

AI code

Various images fed through the A.I. trinity, segmented, and captioned.

25 August 2016, India :

Facebook today is announcing that it’s open-sourcing some of its latest artificial intelligence (A.I.) software for segmenting objects within images. The DeepMask, SharpMask, and MultiPathNet tools are available now on GitHub under a BSD license.

“We’re making the code for DeepMask+SharpMask as well as MultiPathNet — along with our research papers and demos related to them — open and accessible to all, with the hope that they’ll help rapidly advance the field of machine vision,” Facebook research scientist Piotr Dollar wrote in a blog post.

There are essentially three sets of code that Facebook is putting on GitHub today. They’re called DeepMask, SharpMask and MultiPathNet: DeepMask figures out if there’s an object in the image, SharpMask delineates those objects and MultiPathNet attempts to identify what they are. Combined, they make up a visual-recognition system that Facebook says is able to understand images at the pixel level, a surprisingly complex task for machines.

AI code

Before and after a photo is “encoded as an array of numbers representing color values for each pixel.”

“Our whole goal is to get at all the pixels, to get at all the information in the image,” he says. “It’s still sort of a first step in the grand scheme of computer vision and having a visual recognition system that’s on par with the human visual system. We’re starting to move in that direction.”

Source & Images : Facebook blog

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